{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PrhQmJpVLtlmDx+IK+G4icpZvV1dcr644mAgsUNWl3jn/CJwJvOdLcybwIICqviYi3USk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\nwZce6E8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa09026e400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%run bpsk_convolutinal_code_trivial.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RXGX1nwX99tvOffN59C4/eLBz621iMoFrml/8z8fkRa6y1NQAL70E7LWX89jb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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f43bc5ab550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%run bpsk_convolutinal_code_animate.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hpl1sSWcZjUs6pQSdj7L2/zLw/dj/8IexZVsSqr1U6NyjdQ8ifPHokTV/02i/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\naWjLSukuDd6m45zLryZKOq6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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33a2cea2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%run bpsk_convolutinal_code.py"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
